Upload models/sanet/level9.0_seed43/config.yaml with huggingface_hub

models/sanet/level9.0_seed43/config.yaml

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+experiment:
+  name: denoise_sanet_base0511_level9.0_seed43
+  output_dir: /home/sharedata/gtx/benchmark/ground_roll/results_0510
+  seed: 43
+  device: cuda:4
+data:
+  segy_pair:
+    input_path: /home/sharedata/gtx/benchmark/ground_roll/noisy/SEGC3_shots1_9_noisy_9.0.sgy
+    target_path: /home/sharedata/gtx/benchmark/ground_roll/noise/SEGC3_shots1_9_noise_9.0.sgy
+    traces_per_shot: 201
+    time_downsample: 1
+  shot_split:
+    train: 7
+    val: 1
+    test: 1
+  loader:
+    batch_size: 64
+    num_workers: 4
+    pin_memory: true
+preprocess:
+  normalize_mode: max_abs
+  normalize_scope: global
+  patch_time: 256
+  patch_trace: 128
+  patch_overlap: 0.5
+  max_shots: null
+model:
+  type: sanet
+  params:
+    in_channels: 1
+    out_channels: 1
+    base_channels: 32
+    num_blocks: 8
+    kernel_sizes:
+    - 3
+    - 5
+    - 7
+loss:
+  type: mse
+  params:
+    reduction: mean
+metrics:
+- name: snr
+  params:
+    reduction: per_sample
+- name: psnr
+  params:
+    data_range: 1.0
+    reduction: per_sample
+- name: ssim
+  params:
+    data_range: 2.0
+    window_size: 11
+    sigma: 1.5
+- name: mae
+  params: {}
+- name: mse
+  params: {}
+- name: rmse
+  params:
+    reduction: per_sample
+optim:
+  type: adamw
+  params:
+    lr: 0.0001
+    weight_decay: 1.0e-05
+scheduler:
+  type: cosine
+  params:
+    min_lr: 1.0e-06
+train:
+  epochs: 200
+  grad_clip: 1.0
+  log_step: false
+  log_interval: 10
+  eval_interval: 1
+  ckpt_interval: 20
+  vis_interval: 5
+  resume: null
+log:
+  log_dir: logs
+  plot_interval: 5